摘要
图像的边缘检测技术是图像处理领域最基本的技术,如何快速、精确的提取图像边缘信息一直是国内外研究的热点。为了实际工程的应用,本文提出了一种新的基于模糊支持向量机的图像边缘检测算法;建立边缘检测的模型对理想状态和噪声状态的图像进行边缘检测的实验,仿真实验果表明,新的算法稳定性高,抗噪性能好,具有较好的检测效果。
Edge detection technology is the basic technology of image processing,how fast,accurate image edge information extraction has been a hot research at home and abroad.For practical engineering applications,this paper presents a new algorithm for image edge detection based on fuzzy support vector machine;construct a new fuzzy membership degree,improves the classification accuracy;image using the proposed fuzzy support vector machine classification algorithm based on edge detection model of ideal state and state of noise edge detection experiments,simulation results show that the new algorithm stability, high,good anti-noise performance,has good detection results.
出处
《电子测试》
2013年第5S期54-55,共2页
Electronic Test
关键词
边缘检测
模糊支持向量机
隶属度函数
Edge detection
Fuzzy Support Vector Machine
Membership Function
